AI Research and Innovation
Warwick AI Research and Innovation
AI is changing how knowledge is produced, how decisions are made and how possibilities are imagined. But AI is never only technical: it is shaped by data, institutions, infrastructure, labour and the contexts in which it is used. At Warwick, we bring together expertise from across the University to understand and shape that transformation: from the mathematics, statistics, computing and engineering that make AI possible, to its use across science, medicine, business, the social sciences and the arts, and its consequences for people, organisations, culture and public life. Our strength is in making those connections: asking not only what AI can do, but where it works, for whom, under what conditions, and with what consequences.
For exampleThe Probabilistic AI Hub, led by Gareth Roberts in Statistics, works on how AI systems represent what they do not know.
For exampleReinhard Maurer in Chemistry uses deep learning to simulate light-driven chemistry, to design better catalysts.
For exampleNasir Rajpoot in Computer Science is validating an automated screening tool for bowel biopsy slides across multiple hospitals.
For exampleMarkus Brill in Computer Science asks whose values an AI system should be aligned to when people disagree.
Warwick AI research
Warwick AI starts with the question.
How should AI represent what it does not know?Probabilistic AI Hub
Gareth Roberts, Statistics Create AI
What safeguards does data-driven learning need to be responsible?Statistical Safeguarding: a Japan-UK collaboration
Wenkai Xu, Statistics Create with AI
Can deep learning simulate light-driven chemistry well enough to design better catalysts?Deep learning enabled simulation of plasmonic photocatalysis
Reinhard Maurer, Chemistry Put AI to work
Can an AI tool screen bowel biopsy slides reliably enough for the NHS to use it?COBIx: multi-site validation of automated screening
Nasir Rajpoot, Computer Science Put AI to the test
Who gets to decide what responsible AI means?Inclusive Futures: radical ethics and transformative justice for responsible AI
Sanjay Sharma, Centre for Interdisciplinary Methodologies Put AI to the test
Whose values should an AI system be aligned to when people disagree?Social Choice for AI Safety
Markus Brill, Computer Science
Explore AI at Warwick
AI research spanning disciplines
From mathematics and computer science to medicine, chemistry, engineering, business and the social sciences.
Backed by leading funders and partners
Including UKRI, EPSRC, ARIA, NIHR, MRC, Innovate UK, the European Commission and industry.
Choose a research theme
Machine learning and statistics
Statistical learning theory, probabilistic methods, optimisation and the mathematics underpinning modern models.
NebulaOne pilot
Warwick is piloting NebulaOne, an enterprise AI environment intended for work involving sensitive or restricted research data. Find out what it can be used for, what data it will accept, and how to join the pilot.
Doing it properly
Short, practical answers to the questions researchers actually ask.
AI has an environmental cost, and research is not exempt from it.
The Responsible AI and Digital Sustainability Action Group reports to the University's Sustainability Committee, and there is guidance on using AI with lower impact.
Guidance last reviewed August 2026.
Latest
- Warwick researchers power AI-driven pest monitoring for UK vegetable growers Put AI to work
- New quantum material and chip architecture tackle a key barrier to scaling quantum computers Create AI
- Warwick computer scientists are helping secure your data against quantum computers Put AI to the test
- Warwick hosts a forum in China on AI, sustainability and global leadership Partnerships
Open funding calls
- Next generation artificial intelligence: explainable AI UKRI · check deadline
- Future computing paradigms Network Plus UKRI · check deadline
Internal calls, seed funding and sandpits are listed on the funding page.
Innovation with Warwick
From possibility to innovation.
AI creates new possibilities at extraordinary speed. What turns a possibility into an innovation is the confidence to implement: evidence about how a system performs, understanding of what it will change, and governance that can keep pace with it.
Prove it
Mathematics, verification, assurance, explainability and robustness.
Secure it
Security, resilience, privacy and trustworthy systems.
Govern it
Law, policy, regulation, accountability and power.
Understand it
Society, culture, inequality, organisations and lived experience.
Work with Warwick
Bring us a problem that doesn't have an answer yet.
Warwick works with businesses, public bodies, funders and universities worldwide on AI, from short technical consultancy and student projects through to co-funded programmes, spinouts and multi-partner research centres.
Tell us what you're trying to solve and we'll route you to the right group, whether that's a single research team or a cross-faculty consortium.
Start a conversationWant to speak to someone?
Talk it through with us.
If you have an idea, a question, or you are not sure where to start, get in touch with Tom or Emellyne. We can help you find the right people, expertise and routes across Warwick.